NASDAQ:AFSI
Delisted
AmTrust Financial Services Fund Price (Quote)
$14.75
+0 (+0%)
At Close: Dec 21, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $13.92 | $14.77 | Friday, 21st Dec 2018 AFSI stock ended at $14.75. During the day the stock fluctuated 0% from a day low at $14.75 to a day high of $14.75. |
90 days | $13.79 | $14.77 | |
52 weeks | $9.86 | $14.77 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2018 | $13.02 | $13.46 | $12.92 | $13.42 | 1 007 330 |
Jan 30, 2018 | $13.34 | $13.47 | $12.85 | $13.01 | 860 493 |
Jan 29, 2018 | $13.09 | $13.44 | $12.96 | $13.39 | 1 507 121 |
Jan 26, 2018 | $13.20 | $13.20 | $12.82 | $13.14 | 986 234 |
Jan 25, 2018 | $13.04 | $13.11 | $12.83 | $13.10 | 675 369 |
Jan 24, 2018 | $13.19 | $13.19 | $12.82 | $13.00 | 930 159 |
Jan 23, 2018 | $12.93 | $13.22 | $12.78 | $13.09 | 1 069 903 |
Jan 22, 2018 | $12.64 | $12.97 | $12.58 | $12.93 | 1 092 980 |
Jan 19, 2018 | $12.63 | $12.76 | $12.48 | $12.68 | 1 355 922 |
Jan 18, 2018 | $12.80 | $12.85 | $12.60 | $12.70 | 1 824 566 |
Jan 17, 2018 | $12.71 | $12.91 | $12.56 | $12.86 | 1 908 818 |
Jan 16, 2018 | $13.01 | $13.02 | $12.62 | $12.68 | 1 696 750 |
Jan 15, 2018 | $13.01 | $13.01 | $13.01 | $13.01 | 0 |
Jan 12, 2018 | $12.50 | $13.06 | $12.35 | $13.01 | 3 395 381 |
Jan 11, 2018 | $12.69 | $12.77 | $12.36 | $12.55 | 3 986 897 |
Jan 10, 2018 | $12.27 | $13.20 | $12.25 | $12.69 | 10 819 087 |
Jan 09, 2018 | $10.17 | $10.36 | $10.14 | $10.15 | 575 555 |
Jan 08, 2018 | $10.37 | $10.43 | $10.04 | $10.14 | 645 357 |
Jan 05, 2018 | $10.53 | $10.57 | $10.29 | $10.39 | 606 179 |
Jan 04, 2018 | $10.52 | $10.62 | $10.35 | $10.48 | 655 389 |
Jan 03, 2018 | $10.42 | $10.67 | $10.38 | $10.50 | 987 949 |
Jan 02, 2018 | $10.15 | $10.50 | $10.03 | $10.47 | 1 196 577 |
Dec 29, 2017 | $9.96 | $10.15 | $9.87 | $10.07 | 1 694 050 |
Dec 28, 2017 | $9.95 | $10.15 | $9.90 | $10.13 | 1 410 480 |
Dec 27, 2017 | $9.98 | $10.14 | $9.86 | $9.93 | 1 799 406 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use AFSI stock historical prices to predict future price movements?
Trend Analysis: Examine the AFSI stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the AFSI stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.